{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "context_rcnn_tutorial.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jZc1kMel3sZP",
        "colab_type": "text"
      },
      "source": [
        "# Context R-CNN Demo\n",
        "\n",
        "<table align=\"left\"><td>\n",
        "  <a target=\"_blank\"  href=\"https://colab.sandbox.google.com/github/tensorflow/models/blob/master/research/object_detection/colab_tutorials/context_rcnn_tutorial.ipynb\">\n",
        "    <img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab\n",
        "  </a>\n",
        "</td><td>\n",
        "  <a target=\"_blank\"  href=\"https://github.com/tensorflow/models/blob/master/research/object_detection/colab_tutorials/context_rcnn_tutorial.ipynb\">\n",
        "    <img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on GitHub</a>\n",
        "</td></table>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XuHWvdag3_b9",
        "colab_type": "text"
      },
      "source": [
        " This notebook will walk you step by step through the process of using a pre-trained model to build up a contextual memory bank for a set of images, and then detect objects in those images+context using [Context R-CNN](https://arxiv.org/abs/1912.03538)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u0e-OOtn4hQ8",
        "colab_type": "text"
      },
      "source": [
        "# Setup"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w-UrhxBw4iLA",
        "colab_type": "text"
      },
      "source": [
        "Important: If you're running on a local machine, be sure to follow the [installation instructions](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md). This notebook includes only what's necessary to run in Colab."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SAqMxS4V4lqS",
        "colab_type": "text"
      },
      "source": [
        "### Install"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BPkovrxF4o8n",
        "colab_type": "code",
        "outputId": "e1b8debc-ab73-4b3e-9e44-c86446c7cda1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 785
        }
      },
      "source": [
        "!pip install -U --pre tensorflow==\"2.*\"\n",
        "!pip install tf_slim"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already up-to-date: tensorflow==2.* in /usr/local/lib/python3.6/dist-packages (2.2.0)\n",
            "Requirement already satisfied, skipping upgrade: scipy==1.4.1; python_version >= \"3\" in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (1.4.1)\n",
            "Requirement already satisfied, skipping upgrade: protobuf>=3.8.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (3.10.0)\n",
            "Requirement already satisfied, skipping upgrade: h5py<2.11.0,>=2.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (2.10.0)\n",
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            "Requirement already satisfied, skipping upgrade: wheel>=0.26; python_version >= \"3\" in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (0.34.2)\n",
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            "Requirement already satisfied, skipping upgrade: google-pasta>=0.1.8 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (0.2.0)\n",
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            "Requirement already satisfied, skipping upgrade: gast==0.3.3 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (0.3.3)\n",
            "Requirement already satisfied, skipping upgrade: astunparse==1.6.3 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (1.6.3)\n",
            "Requirement already satisfied, skipping upgrade: keras-preprocessing>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (1.1.2)\n",
            "Requirement already satisfied, skipping upgrade: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (1.1.0)\n",
            "Requirement already satisfied, skipping upgrade: six>=1.12.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (1.12.0)\n",
            "Requirement already satisfied, skipping upgrade: wrapt>=1.11.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow==2.*) (1.12.1)\n",
            "Requirement already satisfied, skipping upgrade: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf>=3.8.0->tensorflow==2.*) (47.1.1)\n",
            "Requirement already satisfied, skipping upgrade: google-auth<2,>=1.6.3 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (1.7.2)\n",
            "Requirement already satisfied, skipping upgrade: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (1.0.1)\n",
            "Requirement already satisfied, skipping upgrade: requests<3,>=2.21.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (2.23.0)\n",
            "Requirement already satisfied, skipping upgrade: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (0.4.1)\n",
            "Requirement already satisfied, skipping upgrade: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (3.2.2)\n",
            "Requirement already satisfied, skipping upgrade: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (1.6.0.post3)\n",
            "Requirement already satisfied, skipping upgrade: cachetools<3.2,>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (3.1.1)\n",
            "Requirement already satisfied, skipping upgrade: rsa<4.1,>=3.1.4 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (4.0)\n",
            "Requirement already satisfied, skipping upgrade: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (0.2.8)\n",
            "Requirement already satisfied, skipping upgrade: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (2.9)\n",
            "Requirement already satisfied, skipping upgrade: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (3.0.4)\n",
            "Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (2020.4.5.1)\n",
            "Requirement already satisfied, skipping upgrade: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (1.24.3)\n",
            "Requirement already satisfied, skipping upgrade: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (1.3.0)\n",
            "Requirement already satisfied, skipping upgrade: importlib-metadata; python_version < \"3.8\" in /usr/local/lib/python3.6/dist-packages (from markdown>=2.6.8->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (1.6.0)\n",
            "Requirement already satisfied, skipping upgrade: pyasn1>=0.1.3 in /usr/local/lib/python3.6/dist-packages (from rsa<4.1,>=3.1.4->google-auth<2,>=1.6.3->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (0.4.8)\n",
            "Requirement already satisfied, skipping upgrade: oauthlib>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (3.1.0)\n",
            "Requirement already satisfied, skipping upgrade: zipp>=0.5 in /usr/local/lib/python3.6/dist-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard<2.3.0,>=2.2.0->tensorflow==2.*) (3.1.0)\n",
            "Collecting tf_slim\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/02/97/b0f4a64df018ca018cc035d44f2ef08f91e2e8aa67271f6f19633a015ff7/tf_slim-1.1.0-py2.py3-none-any.whl (352kB)\n",
            "\u001b[K     |████████████████████████████████| 358kB 2.8MB/s \n",
            "\u001b[?25hRequirement already satisfied: absl-py>=0.2.2 in /usr/local/lib/python3.6/dist-packages (from tf_slim) (0.9.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from absl-py>=0.2.2->tf_slim) (1.12.0)\n",
            "Installing collected packages: tf-slim\n",
            "Successfully installed tf-slim-1.1.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zpKF8a2x4tec",
        "colab_type": "text"
      },
      "source": [
        "Make sure you have `pycocotools` installed"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "owcrp0AW4uCg",
        "colab_type": "code",
        "outputId": "001148a8-b0a8-43a1-f6df-225d86d90b8f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "!pip install pycocotools"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: pycocotools in /usr/local/lib/python3.6/dist-packages (2.0.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wHFSRVaO4wuq",
        "colab_type": "text"
      },
      "source": [
        "Get `tensorflow/models` or `cd` to parent directory of the repository."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E0ZuGKoi4wTn",
        "colab_type": "code",
        "outputId": "2b5d93cb-3548-4347-9b76-ce12bea44a56",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "import os\n",
        "import pathlib\n",
        "\n",
        "\n",
        "if \"models\" in pathlib.Path.cwd().parts:\n",
        "  while \"models\" in pathlib.Path.cwd().parts:\n",
        "    os.chdir('..')\n",
        "elif not pathlib.Path('models').exists():\n",
        "  !git clone --depth 1 https://github.com/tensorflow/models"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'models'...\n",
            "remote: Enumerating objects: 2694, done.\u001b[K\n",
            "remote: Counting objects: 100% (2694/2694), done.\u001b[K\n",
            "remote: Compressing objects: 100% (2370/2370), done.\u001b[K\n",
            "remote: Total 2694 (delta 520), reused 1332 (delta 290), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (2694/2694), 34.10 MiB | 29.32 MiB/s, done.\n",
            "Resolving deltas: 100% (520/520), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GkqRm-WY47MR",
        "colab_type": "text"
      },
      "source": [
        "Compile protobufs and install the object_detection package"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "62Dn1_YU45O2",
        "colab_type": "code",
        "outputId": "439166dd-6202-4ff9-897d-100a35ae5af5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "%%bash\n",
        "cd models/research/\n",
        "protoc object_detection/protos/*.proto --python_out=."
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "object_detection/protos/input_reader.proto: warning: Import object_detection/protos/image_resizer.proto but not used.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "83kNiD-24-ZB",
        "colab_type": "code",
        "outputId": "aa148939-7dcc-4fbd-ea48-41236523712c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        }
      },
      "source": [
        "%%bash \n",
        "cd models/research\n",
        "pip install ."
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Processing /content/models/research\n",
            "Requirement already satisfied: Pillow>=1.0 in /usr/local/lib/python3.6/dist-packages (from object-detection==0.1) (7.0.0)\n",
            "Requirement already satisfied: Matplotlib>=2.1 in /usr/local/lib/python3.6/dist-packages (from object-detection==0.1) (3.2.1)\n",
            "Requirement already satisfied: Cython>=0.28.1 in /usr/local/lib/python3.6/dist-packages (from object-detection==0.1) (0.29.19)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from Matplotlib>=2.1->object-detection==0.1) (0.10.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from Matplotlib>=2.1->object-detection==0.1) (2.4.7)\n",
            "Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.6/dist-packages (from Matplotlib>=2.1->object-detection==0.1) (1.18.5)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from Matplotlib>=2.1->object-detection==0.1) (2.8.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from Matplotlib>=2.1->object-detection==0.1) (1.2.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from cycler>=0.10->Matplotlib>=2.1->object-detection==0.1) (1.12.0)\n",
            "Building wheels for collected packages: object-detection\n",
            "  Building wheel for object-detection (setup.py): started\n",
            "  Building wheel for object-detection (setup.py): finished with status 'done'\n",
            "  Created wheel for object-detection: filename=object_detection-0.1-cp36-none-any.whl size=1141324 sha256=1dff68de415a4ccc3af0e20b8f409a73d147d79720a713dcdc30f9bc8d4ab3a2\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-rlyj8yrw/wheels/94/49/4b/39b051683087a22ef7e80ec52152a27249d1a644ccf4e442ea\n",
            "Successfully built object-detection\n",
            "Installing collected packages: object-detection\n",
            "Successfully installed object-detection-0.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "LBdjK2G5ywuc"
      },
      "source": [
        "### Imports"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "hV4P5gyTWKMI",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import os\n",
        "import six\n",
        "import six.moves.urllib as urllib\n",
        "import sys\n",
        "import tarfile\n",
        "import tensorflow as tf\n",
        "import zipfile\n",
        "import pathlib\n",
        "import json\n",
        "import datetime\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from collections import defaultdict\n",
        "from io import StringIO\n",
        "from matplotlib import pyplot as plt\n",
        "from PIL import Image\n",
        "from IPython.display import display"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "r5FNuiRPWKMN"
      },
      "source": [
        "Import the object detection module."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "4-IMl4b6BdGO",
        "colab": {}
      },
      "source": [
        "from object_detection.utils import ops as utils_ops\n",
        "from object_detection.utils import label_map_util\n",
        "from object_detection.utils import visualization_utils as vis_utils"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "RYPCiag2iz_q"
      },
      "source": [
        "Patches:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mF-YlMl8c_bM",
        "colab": {}
      },
      "source": [
        "# patch tf1 into `utils.ops`\n",
        "utils_ops.tf = tf.compat.v1\n",
        "\n",
        "# Patch the location of gfile\n",
        "tf.gfile = tf.io.gfile"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "cfn_tRFOWKMO"
      },
      "source": [
        "# Model preparation "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "7ai8pLZZWKMS"
      },
      "source": [
        "## Loader"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "zm8xp-0eoItE",
        "colab": {}
      },
      "source": [
        "def load_model(model_name):\n",
        "  base_url = 'http://download.tensorflow.org/models/object_detection/'\n",
        "  model_file = model_name + '.tar.gz'\n",
        "  model_dir = tf.keras.utils.get_file(\n",
        "    fname=model_name,\n",
        "    origin=base_url + model_file,\n",
        "    untar=True)\n",
        "\n",
        "  model_dir = pathlib.Path(model_dir)/\"saved_model\"\n",
        "  model = tf.saved_model.load(str(model_dir))\n",
        "  model = model.signatures['serving_default']\n",
        "\n",
        "  return model"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "_1MVVTcLWKMW"
      },
      "source": [
        "## Loading label map\n",
        "Label maps map indices to category names, so that when our convolution network predicts `5`, we know that this corresponds to `zebra`.  Here we use internal utility functions, but anything that returns a dictionary mapping integers to appropriate string labels would be fine"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "hDbpHkiWWKMX",
        "colab": {}
      },
      "source": [
        "# List of the strings that is used to add correct label for each box.\n",
        "PATH_TO_LABELS = 'models/research/object_detection/data/snapshot_serengeti_label_map.pbtxt'\n",
        "category_index = label_map_util.create_category_index_from_labelmap(PATH_TO_LABELS, use_display_name=False)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "oVU3U_J6IJVb"
      },
      "source": [
        "We will test on a context group of images from one month at one camera from the Snapshot Serengeti val split defined on [LILA.science](http://lila.science/datasets/snapshot-serengeti), which was not seen during model training:\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "jG-zn5ykWKMd",
        "outputId": "c7bbbb2f-0f6e-4380-fd92-c88c088bd766",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "# If you want to test the code with your images, just add path to the images to\n",
        "# the TEST_IMAGE_PATHS.\n",
        "PATH_TO_TEST_IMAGES_DIR = pathlib.Path('models/research/object_detection/test_images/snapshot_serengeti')\n",
        "TEST_IMAGE_PATHS = sorted(list(PATH_TO_TEST_IMAGES_DIR.glob(\"*.jpeg\")))\n",
        "TEST_IMAGE_PATHS"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[PosixPath('models/research/object_detection/test_images/snapshot_serengeti/S1_E03_R3_PICT0038.jpeg'),\n",
              " PosixPath('models/research/object_detection/test_images/snapshot_serengeti/S1_E03_R3_PICT0039.jpeg'),\n",
              " PosixPath('models/research/object_detection/test_images/snapshot_serengeti/S1_E03_R3_PICT0040.jpeg'),\n",
              " PosixPath('models/research/object_detection/test_images/snapshot_serengeti/S1_E03_R3_PICT0041.jpeg')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oBcQzptnQ-x6",
        "colab_type": "text"
      },
      "source": [
        "Load the metadata for each image"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZLLINOHcQ-An",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test_data_json = 'models/research/object_detection/test_images/snapshot_serengeti/context_rcnn_demo_metadata.json'\n",
        "with open(test_data_json, 'r') as f:\n",
        "  test_metadata = json.load(f)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BgGTPHhkOAel",
        "colab_type": "code",
        "outputId": "1421a32a-c208-498f-931f-1bfeb25d6488",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        }
      },
      "source": [
        "image_id_to_datetime = {im['id']:im['date_captured'] for im in test_metadata['images']}\n",
        "image_path_to_id = {im['file_name']: im['id'] \n",
        "                    for im in test_metadata['images']}\n",
        "image_path_to_id"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'models/research/object_detection/test_images/snapshot_serengeti/S1_E03_R3_PICT0038.jpeg': 'S1/E03/E03_R3/S1_E03_R3_PICT0038',\n",
              " 'models/research/object_detection/test_images/snapshot_serengeti/S1_E03_R3_PICT0039.jpeg': 'S1/E03/E03_R3/S1_E03_R3_PICT0039',\n",
              " 'models/research/object_detection/test_images/snapshot_serengeti/S1_E03_R3_PICT0040.jpeg': 'S1/E03/E03_R3/S1_E03_R3_PICT0040',\n",
              " 'models/research/object_detection/test_images/snapshot_serengeti/S1_E03_R3_PICT0041.jpeg': 'S1/E03/E03_R3/S1_E03_R3_PICT0041'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "H0_1AGhrWKMc"
      },
      "source": [
        "# Generate Context Features for each image"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kt3_pPQOj7ii",
        "colab_type": "code",
        "outputId": "fc72e978-f576-43f4-bcf1-3eb49fef5726",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        }
      },
      "source": [
        "faster_rcnn_model_name = 'faster_rcnn_resnet101_snapshot_serengeti_2020_06_10'\n",
        "faster_rcnn_model = load_model(faster_rcnn_model_name)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_snapshot_serengeti_2020_06_10.tar.gz\n",
            "588832768/588829839 [==============================] - 3s 0us/step\n",
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k6Clkv_mBo_U",
        "colab_type": "text"
      },
      "source": [
        "Check the model's input signature, it expects a batch of 3-color images of type uint8."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H1qNlFESBsTR",
        "colab_type": "code",
        "outputId": "9b8b84e0-d7a8-4ec9-d6e0-22d574cb6209",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "faster_rcnn_model.inputs"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<tf.Tensor 'image_tensor:0' shape=(None, None, None, 3) dtype=uint8>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eYS8KpRCBtBH",
        "colab_type": "text"
      },
      "source": [
        "And it returns several outputs. Note this model has been exported with additional output 'detection_features' which will be used to build the contextual memory bank."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5M-1yxgfkmQl",
        "colab_type": "code",
        "outputId": "1da98c3b-79c5-4d19-d64c-3e9dbadc97c0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "faster_rcnn_model.output_dtypes"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'detection_boxes': tf.float32,\n",
              " 'detection_classes': tf.float32,\n",
              " 'detection_features': tf.float32,\n",
              " 'detection_multiclass_scores': tf.float32,\n",
              " 'detection_scores': tf.float32,\n",
              " 'num_detections': tf.float32,\n",
              " 'raw_detection_boxes': tf.float32,\n",
              " 'raw_detection_scores': tf.float32}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zVjNFFNIDCst",
        "colab_type": "code",
        "outputId": "edb46db0-05fb-4952-bc88-db09d7811b01",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "faster_rcnn_model.output_shapes"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'detection_boxes': TensorShape([None, 300, 4]),\n",
              " 'detection_classes': TensorShape([None, 300]),\n",
              " 'detection_features': TensorShape([None, None, None, None, None]),\n",
              " 'detection_multiclass_scores': TensorShape([None, 300, 49]),\n",
              " 'detection_scores': TensorShape([None, 300]),\n",
              " 'num_detections': TensorShape([None]),\n",
              " 'raw_detection_boxes': TensorShape([None, 300, 4]),\n",
              " 'raw_detection_scores': TensorShape([None, 300, 49])}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "JP5qZ7sXJpwG"
      },
      "source": [
        "Add a wrapper function to call the model, and cleanup the outputs:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ajmR_exWyN76",
        "colab": {}
      },
      "source": [
        "def run_inference_for_single_image(model, image):\n",
        "  '''Run single image through tensorflow object detection saved_model.\n",
        "\n",
        "  This function runs a saved_model on a (single) provided image and returns\n",
        "  inference results in numpy arrays.\n",
        "\n",
        "  Args:\n",
        "    model: tensorflow saved_model. This model can be obtained using \n",
        "      export_inference_graph.py.\n",
        "    image: uint8 numpy array with shape (img_height, img_width, 3)\n",
        "\n",
        "  Returns:\n",
        "    output_dict: a dictionary holding the following entries:\n",
        "      `num_detections`: an integer\n",
        "      `detection_boxes`: a numpy (float32) array of shape [N, 4]\n",
        "      `detection_classes`: a numpy (uint8) array of shape [N]\n",
        "      `detection_scores`: a numpy (float32) array of shape [N]\n",
        "      `detection_features`: a numpy (float32) array of shape [N, 7, 7, 2048]\n",
        "  '''\n",
        "  image = np.asarray(image)\n",
        "  # The input needs to be a tensor, convert it using `tf.convert_to_tensor`.\n",
        "  input_tensor = tf.convert_to_tensor(image)\n",
        "  # The model expects a batch of images, so add an axis with `tf.newaxis`.\n",
        "  input_tensor = input_tensor[tf.newaxis,...]\n",
        "\n",
        "  # Run inference\n",
        "  output_dict = model(input_tensor)\n",
        "  # All outputs are batches tensors.\n",
        "  # Convert to numpy arrays, and take index [0] to remove the batch dimension.\n",
        "  # We're only interested in the first num_detections.\n",
        "  num_dets = output_dict.pop('num_detections')\n",
        "  num_detections = int(num_dets)\n",
        "  for key,value in output_dict.items():\n",
        "    output_dict[key] = value[0, :num_detections].numpy() \n",
        "  output_dict['num_detections'] = num_detections\n",
        "\n",
        "  # detection_classes should be ints.\n",
        "  output_dict['detection_classes'] = output_dict['detection_classes'].astype(\n",
        "      np.int64)\n",
        "  return output_dict"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "un5SXxIxMaaV",
        "colab_type": "text"
      },
      "source": [
        "Functions for embedding context features"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qvtvAZFDMoTM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def embed_date_captured(date_captured):\n",
        "  \"\"\"Encodes the datetime of the image.\n",
        "\n",
        "  Takes a datetime object and encodes it into a normalized embedding of shape \n",
        "  [5], using hard-coded normalization factors for year, month, day, hour,\n",
        "  minute.\n",
        "\n",
        "  Args:\n",
        "    date_captured: A datetime object.\n",
        "\n",
        "  Returns:\n",
        "    A numpy float32 embedding of shape [5].\n",
        "  \"\"\"\n",
        "  embedded_date_captured = []\n",
        "  month_max = 12.0\n",
        "  day_max = 31.0\n",
        "  hour_max = 24.0\n",
        "  minute_max = 60.0\n",
        "  min_year = 1990.0\n",
        "  max_year = 2030.0\n",
        "\n",
        "  year = (date_captured.year-min_year)/float(max_year-min_year)\n",
        "  embedded_date_captured.append(year)\n",
        "\n",
        "  month = (date_captured.month-1)/month_max\n",
        "  embedded_date_captured.append(month)\n",
        "\n",
        "  day = (date_captured.day-1)/day_max\n",
        "  embedded_date_captured.append(day)\n",
        "\n",
        "  hour = date_captured.hour/hour_max\n",
        "  embedded_date_captured.append(hour)\n",
        "\n",
        "  minute = date_captured.minute/minute_max\n",
        "  embedded_date_captured.append(minute)\n",
        "\n",
        "  return np.asarray(embedded_date_captured)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xN8k5daOOA7b",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def embed_position_and_size(box):\n",
        "  \"\"\"Encodes the bounding box of the object of interest.\n",
        "\n",
        "  Takes a bounding box and encodes it into a normalized embedding of shape \n",
        "  [4] - the center point (x,y) and width and height of the box.\n",
        "\n",
        "  Args:\n",
        "    box: A bounding box, formatted as [ymin, xmin, ymax, xmax].\n",
        "\n",
        "  Returns:\n",
        "    A numpy float32 embedding of shape [4].\n",
        "  \"\"\"\n",
        "  ymin = box[0]\n",
        "  xmin = box[1]\n",
        "  ymax = box[2]\n",
        "  xmax = box[3]\n",
        "  w = xmax - xmin\n",
        "  h = ymax - ymin\n",
        "  x = xmin + w / 2.0\n",
        "  y = ymin + h / 2.0\n",
        "  return np.asarray([x, y, w, h])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lJe2qy8HPc6Z",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_context_feature_embedding(date_captured, detection_boxes,\n",
        "                                  detection_features, detection_scores):\n",
        "  \"\"\"Extracts representative feature embedding for a given input image.\n",
        "\n",
        "  Takes outputs of a detection model and focuses on the highest-confidence\n",
        "  detected object. Starts with detection_features and uses average pooling to\n",
        "  remove the spatial dimensions, then appends an embedding of the box position\n",
        "  and size, and an embedding of the date and time the image was captured,\n",
        "  returning a one-dimensional representation of the object.\n",
        "\n",
        "  Args:\n",
        "    date_captured: A datetime string of format '%Y-%m-%d %H:%M:%S'.\n",
        "    detection_features: A numpy (float32) array of shape [N, 7, 7, 2048].\n",
        "    detection_boxes: A numpy (float32) array of shape [N, 4].\n",
        "    detection_scores: A numpy (float32) array of shape [N].\n",
        "\n",
        "  Returns:\n",
        "    A numpy float32 embedding of shape [2057].\n",
        "  \"\"\"\n",
        "  date_captured = datetime.datetime.strptime(date_captured,'%Y-%m-%d %H:%M:%S')\n",
        "  temporal_embedding = embed_date_captured(date_captured)\n",
        "  embedding = detection_features[0]\n",
        "  pooled_embedding = np.mean(np.mean(embedding, axis=1), axis=0)\n",
        "  box = detection_boxes[0]\n",
        "  position_embedding = embed_position_and_size(box)\n",
        "  bb_embedding = np.concatenate((pooled_embedding, position_embedding))\n",
        "  embedding = np.expand_dims(np.concatenate((bb_embedding,temporal_embedding)),\n",
        "                             axis=0)\n",
        "  score = detection_scores[0]\n",
        "  return embedding, score"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "z1wq0LVyMRR_"
      },
      "source": [
        "Run it on each test image and use the output detection features and metadata to build up a context feature bank:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "DWh_1zz6aqxs",
        "colab": {}
      },
      "source": [
        "def run_inference(model, image_path, date_captured, resize_image=True):\n",
        "  \"\"\"Runs inference over a single input image and extracts contextual features.\n",
        "\n",
        "  Args:\n",
        "    model: A tensorflow saved_model object.\n",
        "    image_path: Absolute path to the input image.\n",
        "    date_captured: A datetime string of format '%Y-%m-%d %H:%M:%S'.\n",
        "    resize_image: Whether to resize the input image before running inference.\n",
        "\n",
        "  Returns:\n",
        "    context_feature: A numpy float32 array of shape [2057].\n",
        "    score: A numpy float32 object score for the embedded object.\n",
        "    output_dict: The saved_model output dictionary for the image.\n",
        "  \"\"\"\n",
        "  with open(image_path,'rb') as f:\n",
        "    image = Image.open(f)\n",
        "    if resize_image:\n",
        "      image.thumbnail((640,640),Image.ANTIALIAS)\n",
        "    image_np = np.array(image)\n",
        "\n",
        "  # Actual detection.\n",
        "  output_dict = run_inference_for_single_image(model, image_np)\n",
        "\n",
        "  context_feature, score = get_context_feature_embedding(\n",
        "      date_captured, output_dict['detection_boxes'],\n",
        "      output_dict['detection_features'], output_dict['detection_scores'])\n",
        "  return context_feature, score, output_dict"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "3a5wMHN8WKMh",
        "colab": {}
      },
      "source": [
        "context_features = []\n",
        "scores = []\n",
        "faster_rcnn_results = {}\n",
        "for image_path in TEST_IMAGE_PATHS:\n",
        "  image_id = image_path_to_id[str(image_path)]\n",
        "  date_captured = image_id_to_datetime[image_id]\n",
        "  context_feature, score, results = run_inference(\n",
        "      faster_rcnn_model, image_path, date_captured)\n",
        "  faster_rcnn_results[image_id] = results\n",
        "  context_features.append(context_feature)\n",
        "  scores.append(score)\n",
        "\n",
        "# Concatenate all extracted context embeddings into a contextual memory bank.\n",
        "context_features_matrix = np.concatenate(context_features, axis=0)\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "DsspMPX3Cssg"
      },
      "source": [
        "## Run Detection With Context"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "f7aOtOlebK7h"
      },
      "source": [
        "Load a context r-cnn object detection model:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "1XNT0wxybKR6",
        "outputId": "cc5b0677-cf16-46c2-9ae5-32681725f856",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        }
      },
      "source": [
        "context_rcnn_model_name = 'context_rcnn_resnet101_snapshot_serengeti_2020_06_10'\n",
        "context_rcnn_model = load_model(context_rcnn_model_name)\n"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from http://download.tensorflow.org/models/object_detection/context_rcnn_resnet101_snapshot_serengeti_2020_06_10.tar.gz\n",
            "724664320/724658931 [==============================] - 3s 0us/step\n",
            "INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G6IGGtGqBH6y",
        "colab_type": "text"
      },
      "source": [
        "We need to define the expected context padding size for the\n",
        "model, this must match the definition in the model config (max_num_context_features)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4oh9XNLBjkTL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "context_padding_size = 2000"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "yN1AYfAEJIGp"
      },
      "source": [
        "Check the model's input signature, it expects a batch of 3-color images of type uint8, plus context_features padded to the maximum context feature size for this model (2000) and valid_context_size to represent the non-padded context features: "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "CK4cnry6wsHY",
        "outputId": "d77af014-769f-4e20-b4ac-bfdd40502128",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "context_rcnn_model.inputs"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<tf.Tensor 'image_tensor:0' shape=(1, None, None, 3) dtype=uint8>,\n",
              " <tf.Tensor 'context_features:0' shape=(1, 2000, 2057) dtype=float32>,\n",
              " <tf.Tensor 'valid_context_size:0' shape=(1,) dtype=int32>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Q8u3BjpMJXZF"
      },
      "source": [
        "And returns several outputs:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "oLSZpfaYwuSk",
        "outputId": "63a3903f-529b-41f9-b742-9b81c4c5e096",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "context_rcnn_model.output_dtypes"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'detection_boxes': tf.float32,\n",
              " 'detection_classes': tf.float32,\n",
              " 'detection_multiclass_scores': tf.float32,\n",
              " 'detection_scores': tf.float32,\n",
              " 'num_detections': tf.float32,\n",
              " 'raw_detection_boxes': tf.float32,\n",
              " 'raw_detection_scores': tf.float32}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "FZyKUJeuxvpT",
        "outputId": "d2feeaba-2bb2-4779-a96a-94a8a0aff362",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "context_rcnn_model.output_shapes"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'detection_boxes': TensorShape([1, 300, 4]),\n",
              " 'detection_classes': TensorShape([1, 300]),\n",
              " 'detection_multiclass_scores': TensorShape([1, 300, 49]),\n",
              " 'detection_scores': TensorShape([1, 300]),\n",
              " 'num_detections': TensorShape([1]),\n",
              " 'raw_detection_boxes': TensorShape([1, 300, 4]),\n",
              " 'raw_detection_scores': TensorShape([1, 300, 49])}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "CzkVv_n2MxKC",
        "colab": {}
      },
      "source": [
        "def run_context_rcnn_inference_for_single_image(\n",
        "    model, image, context_features, context_padding_size):\n",
        "  '''Run single image through a Context R-CNN saved_model.\n",
        "\n",
        "  This function runs a saved_model on a (single) provided image and provided \n",
        "  contextual features and returns inference results in numpy arrays.\n",
        "\n",
        "  Args:\n",
        "    model: tensorflow Context R-CNN saved_model. This model can be obtained\n",
        "      using export_inference_graph.py and setting side_input fields. \n",
        "      Example export call - \n",
        "        python export_inference_graph.py \\\n",
        "          --input_type image_tensor \\\n",
        "          --pipeline_config_path /path/to/context_rcnn_model.config \\\n",
        "          --trained_checkpoint_prefix /path/to/context_rcnn_model.ckpt \\\n",
        "          --output_directory /path/to/output_dir \\\n",
        "          --use_side_inputs True \\\n",
        "          --side_input_shapes 1,2000,2057/1 \\\n",
        "          --side_input_names context_features,valid_context_size \\\n",
        "          --side_input_types float,int \\\n",
        "          --input_shape 1,-1,-1,3\n",
        "\n",
        "    image: uint8 numpy array with shape (img_height, img_width, 3)\n",
        "    context_features: A numpy float32 contextual memory bank of shape \n",
        "      [num_context_examples, 2057]\n",
        "    context_padding_size: The amount of expected padding in the contextual\n",
        "      memory bank, defined in the Context R-CNN config as \n",
        "      max_num_context_features.\n",
        "\n",
        "  Returns:\n",
        "    output_dict: a dictionary holding the following entries:\n",
        "      `num_detections`: an integer\n",
        "      `detection_boxes`: a numpy (float32) array of shape [N, 4]\n",
        "      `detection_classes`: a numpy (uint8) array of shape [N]\n",
        "      `detection_scores`: a numpy (float32) array of shape [N]\n",
        "  '''\n",
        "  image = np.asarray(image)\n",
        "  # The input image needs to be a tensor, convert it using \n",
        "  # `tf.convert_to_tensor`.\n",
        "  image_tensor = tf.convert_to_tensor(\n",
        "      image, name='image_tensor')[tf.newaxis,...]\n",
        "\n",
        "  context_features = np.asarray(context_features)\n",
        "  valid_context_size = context_features.shape[0]\n",
        "  valid_context_size_tensor = tf.convert_to_tensor(\n",
        "      valid_context_size, name='valid_context_size')[tf.newaxis,...]\n",
        "  padded_context_features = np.pad(\n",
        "      context_features,\n",
        "      ((0,context_padding_size-valid_context_size),(0,0)), mode='constant')\n",
        "  padded_context_features_tensor = tf.convert_to_tensor(\n",
        "      padded_context_features,\n",
        "      name='context_features',\n",
        "      dtype=tf.float32)[tf.newaxis,...]\n",
        "\n",
        "  # Run inference\n",
        "  output_dict = model(\n",
        "      inputs=image_tensor,\n",
        "      context_features=padded_context_features_tensor,\n",
        "      valid_context_size=valid_context_size_tensor)\n",
        "  # All outputs are batches tensors.\n",
        "  # Convert to numpy arrays, and take index [0] to remove the batch dimension.\n",
        "  # We're only interested in the first num_detections.\n",
        "  num_dets = output_dict.pop('num_detections')\n",
        "  num_detections = int(num_dets)\n",
        "  for key,value in output_dict.items():\n",
        "    output_dict[key] = value[0, :num_detections].numpy() \n",
        "  output_dict['num_detections'] = num_detections\n",
        "\n",
        "  # detection_classes should be ints.\n",
        "  output_dict['detection_classes'] = output_dict['detection_classes'].astype(np.int64)\n",
        "  return output_dict"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0FqVkR3Agc6U",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def show_context_rcnn_inference(\n",
        "    model, image_path, context_features, faster_rcnn_output_dict,\n",
        "    context_padding_size, resize_image=True):\n",
        "  \"\"\"Runs inference over a single input image and visualizes Faster R-CNN vs. \n",
        "  Context R-CNN results.\n",
        "\n",
        "  Args:\n",
        "    model: A tensorflow saved_model object.\n",
        "    image_path: Absolute path to the input image.\n",
        "    context_features: A numpy float32 contextual memory bank of shape \n",
        "      [num_context_examples, 2057]\n",
        "    faster_rcnn_output_dict: The output_dict corresponding to this input image\n",
        "      from the single-frame Faster R-CNN model, which was previously used to\n",
        "      build the memory bank.\n",
        "    context_padding_size: The amount of expected padding in the contextual\n",
        "      memory bank, defined in the Context R-CNN config as \n",
        "      max_num_context_features.\n",
        "    resize_image: Whether to resize the input image before running inference.\n",
        "\n",
        "  Returns:\n",
        "    context_rcnn_image_np: Numpy image array showing Context R-CNN Results.\n",
        "    faster_rcnn_image_np: Numpy image array showing Faster R-CNN Results.\n",
        "  \"\"\"\n",
        "\n",
        "  # the array based representation of the image will be used later in order to prepare the\n",
        "  # result image with boxes and labels on it.\n",
        "  with open(image_path,'rb') as f:\n",
        "    image = Image.open(f)\n",
        "    if resize_image:\n",
        "      image.thumbnail((640,640),Image.ANTIALIAS)\n",
        "    image_np = np.array(image)\n",
        "    image.thumbnail((400,400),Image.ANTIALIAS)\n",
        "    context_rcnn_image_np = np.array(image)\n",
        "    \n",
        "  faster_rcnn_image_np = np.copy(context_rcnn_image_np)\n",
        "\n",
        "  # Actual detection.\n",
        "  output_dict = run_context_rcnn_inference_for_single_image(\n",
        "      model, image_np, context_features, context_padding_size)\n",
        "\n",
        "  # Visualization of the results of a context_rcnn detection.\n",
        "  vis_utils.visualize_boxes_and_labels_on_image_array(\n",
        "      context_rcnn_image_np,\n",
        "      output_dict['detection_boxes'],\n",
        "      output_dict['detection_classes'],\n",
        "      output_dict['detection_scores'],\n",
        "      category_index,\n",
        "      use_normalized_coordinates=True,\n",
        "      line_thickness=2)\n",
        "  \n",
        "  # Visualization of the results of a faster_rcnn detection.\n",
        "  vis_utils.visualize_boxes_and_labels_on_image_array(\n",
        "      faster_rcnn_image_np,\n",
        "      faster_rcnn_output_dict['detection_boxes'],\n",
        "      faster_rcnn_output_dict['detection_classes'],\n",
        "      faster_rcnn_output_dict['detection_scores'],\n",
        "      category_index,\n",
        "      use_normalized_coordinates=True,\n",
        "      line_thickness=2)\n",
        "  return context_rcnn_image_np, faster_rcnn_image_np"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3cYa2B8uAYx0",
        "colab_type": "text"
      },
      "source": [
        "Define Matplotlib parameters for pretty visualizations"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9F8okR1uAQ0T",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%matplotlib inline\n",
        "plt.rcParams['axes.grid'] = False\n",
        "plt.rcParams['xtick.labelsize'] = False\n",
        "plt.rcParams['ytick.labelsize'] = False\n",
        "plt.rcParams['xtick.top'] = False\n",
        "plt.rcParams['xtick.bottom'] = False\n",
        "plt.rcParams['ytick.left'] = False\n",
        "plt.rcParams['ytick.right'] = False\n",
        "plt.rcParams['figure.figsize'] = [15,10]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YGj7nXXQAaQ7",
        "colab_type": "text"
      },
      "source": [
        "Run Context R-CNN inference and compare results to Faster R-CNN"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "vQ2Sj2VIOZLA",
        "outputId": "1c043894-09e5-4c9f-a99d-ae21d6e72d0c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "for image_path in TEST_IMAGE_PATHS:\n",
        "  image_id = image_path_to_id[str(image_path)]\n",
        "  faster_rcnn_output_dict = faster_rcnn_results[image_id]\n",
        "  context_rcnn_image, faster_rcnn_image = show_context_rcnn_inference(\n",
        "      context_rcnn_model, image_path, context_features_matrix,\n",
        "      faster_rcnn_output_dict, context_padding_size)\n",
        "  plt.subplot(1,2,1)\n",
        "  plt.imshow(faster_rcnn_image)\n",
        "  plt.title('Faster R-CNN')\n",
        "  plt.subplot(1,2,2)\n",
        "  plt.imshow(context_rcnn_image)\n",
        "  plt.title('Context R-CNN')\n",
        "  plt.show()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lMombPr0GF9a",
        "colab_type": "text"
      },
      "source": [
        "The images used in this demo are from the [Snapshot Serengeti dataset](http://lila.science/datasets/snapshot-serengeti), and released under the [Community Data License Agreement (permissive variant)](https://cdla.io/permissive-1-0/)."
      ]
    }
  ]
}